A Deep Generative Model that Uses Physical Quantities to Generate and Retrieve Solar Magnetic Active Regions
Deep generative models have shown immense potential in generating unseen data that has the properties of real data. These models learn complex data-generating distributions starting from a smaller set of latent dimensions. However, generative models have encountered great skepticism in scientific do...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IOP Publishing
2026-01-01
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| Collection: | The Astrophysical Journal Supplement Series |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.3847/1538-4365/ae47d9 |
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